The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Postsynaptic Mechanisms Govern the Differential Excitation of Cortical Neurons by Thalamic Inputs
Open accessAbstract
Thalamocortical (TC) afferents relay sensory input to the cortex by making synapses onto both excitatory regular-spiking principal cells (RS cells) and inhibitory fast-spiking interneurons (FS cells). This divergence plays a crucial role in coordinating excitation with inhibition during the earliest steps of somatosensory processing in the cortex. Although the same TC afferents contact both FS and RS cells, FS cells receive larger and faster excitatory inputs from individual TC afferents. Here, we show that this larger thalamic excitation of FS cells occurs via GluR2-lacking AMPA receptors (AMPARs), and results from a fourfold larger quantal amplitude compared with the thalamic inputs onto RS cells. Thalamic afferents also activate NMDA receptors (NMDARs) at synapses onto both cells types, yet RS cell NMDAR currents are slower and pass more current at physiological membrane potentials. Because of these synaptic specializations, GluR2-lacking AMPARs selectively maintain feedforward inhibition of RS cells, whereas NMDARs contribute to the spiking of RS cells and hence to cortical recurrent excitation. Thus, thalamic afferent activity diverges into two routes that rely on unique complements of postsynaptic AMPARs and NMDARs to orchestrate the dynamic balance of excitation and inhibition as sensory input enters the cortex.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“provided by high quantal amplitude with calcium permeable AMPA receptors (Hull et al., 2009) and multiple synaptic contacts forming clusters of neurotransmitter release sites (Bagnall et al., 2011).”
From GABAergic Interneurons in the Neocortex: From Cellular Properties to Circuits (2016) · cites this paper as Hull et al., 2009
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex
McCormick, D. A., Connors, B. W., Lighthall, J. W., & Prince, D. A. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.4.782 · Cited by 1,935
Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex
Wehr, M., & Zador, A. M. (2003) · Nature · doi:10.1038/nature02116 · Cited by 1,405
Two networks of electrically coupled inhibitory neurons in neocortex
Gibson, J. R., Beierlein, M., & Connors, B. W. (1999) · Nature · doi:10.1038/47035 · Cited by 1,404
Geiger, J. R. P., Melcher, T., Koh, D.-S., Sakmann, B., Seeburg, P. H., Jonas, P., & Monyer, H. (1995) · Neuron · doi:10.1016/0896-6273(95)90076-4 · Cited by 1,260
Response properties of vibrissa units in rat SI somatosensory neocortex
Simons, D. J. (1978) · Journal of Neurophysiology · doi:10.1152/jn.1978.41.3.798 · Cited by 780
Functional organization of thalamocortical relays
Sherman, S. M., & Guillery, R. W. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.3.1367 · Cited by 762
Cortex is driven by weak but synchronously active thalamocortical synapses
Bruno, R. M., & Sakmann, B. (2006) · Science · doi:10.1126/science.1124593 · Cited by 714
Thalamocortical responses of mouse somatosensory (barrel) cortexin vitro
Agmon, A., & Connors, B. W. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90333-j · Cited by 673
Somatosensory integration controlled by dynamic thalamocortical feed-forward inhibition
Gabernet, L., Jadhav, S. P., Feldman, D. E., Carandini, M., & Scanziani, M. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.022 · Cited by 599
Self-citation
Cited by
Sorted by citations
Items 101–147 of 147
Vandevelde, J. R., Yang, J., Albrecht, S., Lam, H., Kaufmann, P. M., Luhmann, H. J., & Stüttgen, M. C. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac141 · Cited by 9
Nguyen, R. H., Forshey, T. M., Holden, J. K., Francisco, E., Kirsch, B., Favorov, O. V., & Tommerdahl, M. (2014) · Experimental Brain Research · doi:10.1007/s00221-014-4045-3 · Cited by 9
Thalamocortical synapses in the cat visual system in vivo are weak and unreliable
Sedigh-Sarvestani, M., Palmer, L. A., & Contreras, D. (2019) · eLife · doi:10.7554/elife.41925 · Cited by 8
Malkin, S. L., Kim, K. K., Tikhonov, D. B., & Zaitsev, A. V. (2014) · Journal of Evolutionary Biochemistry and Physiology · doi:10.1134/s0022093014060052 · Cited by 10
Slot-like capacity and resource-like coding in a neural model of multiple-item working memory
Standage, D., & Paré, M. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00778.2017 · Cited by 10
Malkin, S. L., Kim, K. K., Tikhonov, D. B., Magazanik, L. G., & Zaitsev, A. V. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.06.034 · Cited by 8
Favorov, O. V., Kurşun, O., & Tommerdahl, M. (2017) · Springer series in cognitive and neural systems · doi:10.1007/978-3-319-29674-6_17 · Cited by 8
Afferent Projections to the Calca /CGRP‐Expressing Parabrachial Neurons in Mice
Korkutata, M., Luca, R. D., Fitzgerald, B., Khanday, M. A., Arrigoni, E., & Scammell, T. E. (2025) · The Journal of Comparative Neurology · doi:10.1002/cne.70018 · Cited by 6
The Network for Intracortical Communication in Mouse Visual Cortex
Burkhalter, A. (2016) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-27777-6_4 · Cited by 7
Argaman, T., & Golomb, D. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.054 · Cited by 7
Keine, C., & Englitz, B. (2025) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2025.1568506 · Cited by 6
Barrutieta-Arberas, I., Ortuzar, N., Vaquero-Rodríguez, A., Picó-Gallardo, M., Bengoetxea, H., Guevara, M., Gargiulo, P. A., & Lafuente, J. V. (2023) · Experimental Biology and Medicine · doi:10.1177/15353702231170007 · Cited by 6
Lombardi, A., Wang, Q., Stüttgen, M. C., Mittmann, T., Luhmann, H. J., & Kilb, W. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1254776 · Cited by 5
Maturation of glutamatergic transmission onto dorsal raphe serotonergic neurons
Kisner, A., & Polter, A. M. (2024) · Journal of Neurophysiology · doi:10.1152/jn.00037.2023 · Cited by 5
Han, L., Zhang, Y., Lou, Y., & Xiong, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034837 · Cited by 5
Zaitsev, A. V., Kim, K. K., & Magazanik, L. G. (2012) · Biochemistry (Moscow) Supplement Series A Membrane and Cell Biology · doi:10.1134/s1990747812010163 · Cited by 5
Shen, F.-Y., Lim, B. G., Wen, W., Yu, Z., Cao, B., Si, Y.-G., Ma, L.-Q., Deng, M., Kim, Y. I., Kim, Y., et al. (2020) · Neuroscience Bulletin · doi:10.1007/s12264-019-00461-x · Cited by 5
The Role of GABAergic Interneurons in the Cortex and Hippocampus in the Development of Epilepsy
Zaitsev, A. V. (2017) · Neuroscience and Behavioral Physiology · doi:10.1007/s11055-017-0491-2 · Cited by 5
Classification and function of GABAergic interneurons of the mammalian cerebral cortex
Zaitsev, A. V. (2013) · Biochemistry (Moscow) Supplement Series A Membrane and Cell Biology · doi:10.1134/s1990747813040090 · Cited by 4
Pesavento, M. J., & Pinto, D. J. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00914.2011 · Cited by 4
Optical control of calcium‐permeable AMPA receptors by azobenzene–spermines
Nikolaev, M. V., Gataulina, E. D., Fedorova, I., Baleeva, N. S., Baranov, M. S., Vassilevski, A. A., & Tikhonov, D. B. (2025) · British Journal of Pharmacology · doi:10.1111/bph.70111 · Cited by 3
Schuman, B., & Rudy, B. (2019) · Neuron · doi:10.1016/j.neuron.2019.10.005 · Cited by 2
Iyer, L., Johnson, K., Collier, S., Koretsky, A. P., & Petrus, E. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1519-25.2025 · Cited by 2
Wang, L., & Maffei, A. (2010) · Springer eBooks · doi:10.1007/978-1-4419-6978-1_1 · Cited by 1
Principles of organization and evolution of systems of regulation of functions
Vesselkin, N. P., & IuV, N. (2010) · Journal of Evolutionary Biochemistry and Physiology · doi:10.1134/s0022093010060083 · Cited by 1
GABAergic Axosomatic Synapses of Rat Brain Cortex
Razenkova, V. A., & Korzhevsky, D. E. (2021) · Cell and Tissue Biology · doi:10.1134/s1990519x21030093 · Cited by 1
Signal processing in the tectothalamic pathway.
Wei, H. (2010) · ThinkIR: The University of Louisville's Institutional Repository (University of Louisville) · doi:10.18297/etd/1543
The role of inner retinal inhibitory circuits in tuning off retinal ganglion cell output.
Buldyrev, I. (2010) · OHSU Digital Commons · doi:10.6083/m4qz27xr
Modeling the LFP footprint of unitary thalamic inputs to sensory cortex
Hagen, E., Fossum, J. C., Pettersen, K. H., Alonso, J., Swadlow, H. A., & Einevoll, G. T. (2011) · BMC Neuroscience · doi:10.1186/1471-2202-12-s1-p86
Layer 4 in Primary Visual Cortex: Response Properties and Effects of Awake Brain States
Zhuang, J. (2013) · OpenCommons - UConn (University of Connecticut)
corticocortical connections Distinct functions for direct and transthalamic
Guillery, R. W., O’Muircheartaigh, J., Keller, S. S., Barker, G. J., Richardson, M. P., Browning, P. G. F., Chakraborty, S., Mitchell, A. S., Kanai, R., Komura, Y., et al. (2011)
Neurons to networks and back again: neocortical circuit processing of transient sensory input
Pesavento, M. J., & Pinto, D. J. (2010) · UR Research (University of Rochester)
Guy, J. (2016) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5642
Neural basis of the neurological diagnostic power of vibrotactile sensory testing
Forshey, T. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/d786-bk46
The slow oscillation as an intrinsic and emergent property of the neocortex
Lemieux, M. (2014) · Corpus Université Laval (Université Laval)
Miska, N. J., Richter, L. M. A., Cary, B. A., Gjorgjieva, J., & Turrigiano, G. G. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/283853
Morphologically constrained modeling of spinous inhibition in the somato-sensory cortexPreprint
Gemin, O., Serna, P., Assendorp, N., Fossati, M., Rostaing, P., Triller, A., & Charrier, C. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.06.230722
Little, J. P. (2013) · ProQuest Demo Repository
Expansionsmikroskopie des Rattenhirns zur subzellulären Lokalisation synaptischer Proteine
Kemna, N. A. (2022) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9052
Meeuwissen, A. (2022) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9058
Duffin, J. (2017) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.732084138.793539459
Thalamic Control of Motor Cortical Synchrony
Nashef, A., & Prut, Y. (2023) · doi:10.1093/med/9780197676158.003.0031
Experience-dependent plasticity of layer 2/3 circuits in developing somatosensory neocortex
Wen, J. A. (2018) · KiltHub Repository · doi:10.1184/r1/6716537
Richard, J. M. (2012) · Deep Blue (University of Michigan)
Synaptic changes upon removal of extracellular perineuronal nets in adult mouse visual cortex
Faini, G. (2017) · theses.fr (ABES) · doi:10.70675/7b38d504z7edfz47dezbf9az0a8668ae448a
Heterogeneity of interneuron circuit function in sensory processing and synaptic plasticity
Li, P. (2011) · DigitalGeorgetown (Georgetown University Library)
Metadata
- Authors
- Hull, C., Isaacson, J. S., & Scanziani, M.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Scanziani, M.
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-07-15
- Volume
- 29
- Issue
- 28
- Pages
- 9127-9136
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2753516
- OpenAlex
- W2046924947
- Cited by
- 147
- References
- 56
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 6 · 2018: 11 · 2017: 16 · 2016: 10 · 2015: 10 · 2014: 13 · 2013: 14 · 2012: 12
- FWCI
- 5.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (NH70058)
- National Institute of Mental Health (R01MH070058)
- National Institute of Neurological Disorders and Stroke (F32NS060585)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- thalamocortical afferents, postsynaptic mechanisms, fast-spiking interneurons, NMDA receptor, feedforward inhibition, excitation-inhibition balance, somatosensory processing, synaptic specializations
- MeSH terms
- Animals, Animals, Newborn, Biophysics, Calcium, Drug Interactions, Electric Stimulation, Mice, Inbred ICR, Neural Inhibition, Neural Pathways, Neurons, Pyridazines, Somatosensory Cortex, Strontium, Synapses, Thalamus, Time Factors, Receptors, N-Methyl-D-Aspartate, Patch-Clamp Techniques, Excitatory Amino Acid Antagonists, GABA Antagonists, Excitatory Postsynaptic Potentials, Principal Component Analysis, Mice, Inhibitory Postsynaptic Potentials, In Vitro Techniques
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
